[
https://issues.apache.org/jira/browse/SPARK-6350?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14742049#comment-14742049
]
Apache Spark commented on SPARK-6350:
-------------------------------------
User 'dragos' has created a pull request for this issue:
https://github.com/apache/spark/pull/8732
> Make mesosExecutorCores configurable in mesos "fine-grained" mode
> -----------------------------------------------------------------
>
> Key: SPARK-6350
> URL: https://issues.apache.org/jira/browse/SPARK-6350
> Project: Spark
> Issue Type: Improvement
> Components: Mesos
> Affects Versions: 1.0.0, 1.5.0
> Reporter: Jongyoul Lee
> Assignee: Jongyoul Lee
> Priority: Minor
> Labels: backport-needed
> Fix For: 1.4.0, 1.6.0
>
>
> When spark runs in mesos fine-grained mode, mesos slave launches executor
> with # of cpus and memories. By the way, # of executor's cores is always
> CPU_PER_TASKS as same as spark.task.cpus. If I set that values as 5 for
> running intensive task, mesos executor always consume 5 cores without any
> running task. This waste resources. We should set executor core as a
> configuration variable.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
